Application of neural networks in the teacher selection process

Descripción del Articulo

Conferencia de la International Conference on Machine Learning and Data Engineering
Detalles Bibliográficos
Autores: Ovalle Paulino, Denis Christian, Rojas Romero, Karin Corina, Auccahuasi, Wilver, Meza, Sandra, Cordova-Buiza, Franklin, Cosme, Miryam, Aiquipa, Gabriel, Campos Martínez, Hernando Martin, Fuentes, Alfonso, Auccahuasi, Aly
Formato: objeto de conferencia
Fecha de Publicación:2023
Institución:Universidad Tecnológica del Perú
Repositorio:UTP-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.utp.edu.pe:20.500.12867/7730
Enlace del recurso:https://hdl.handle.net/20.500.12867/7730
https://doi.org/10.1016/j.procs.2023.01.092
Nivel de acceso:acceso abierto
Materia:Artificial neural networks
Employee selection
Teachers
https://purl.org/pe-repo/ocde/ford#1.02.01
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dc.title.es_PE.fl_str_mv Application of neural networks in the teacher selection process
title Application of neural networks in the teacher selection process
spellingShingle Application of neural networks in the teacher selection process
Ovalle Paulino, Denis Christian
Artificial neural networks
Employee selection
Teachers
https://purl.org/pe-repo/ocde/ford#1.02.01
title_short Application of neural networks in the teacher selection process
title_full Application of neural networks in the teacher selection process
title_fullStr Application of neural networks in the teacher selection process
title_full_unstemmed Application of neural networks in the teacher selection process
title_sort Application of neural networks in the teacher selection process
author Ovalle Paulino, Denis Christian
author_facet Ovalle Paulino, Denis Christian
Rojas Romero, Karin Corina
Auccahuasi, Wilver
Meza, Sandra
Cordova-Buiza, Franklin
Cosme, Miryam
Aiquipa, Gabriel
Campos Martínez, Hernando Martin
Fuentes, Alfonso
Auccahuasi, Aly
author_role author
author2 Rojas Romero, Karin Corina
Auccahuasi, Wilver
Meza, Sandra
Cordova-Buiza, Franklin
Cosme, Miryam
Aiquipa, Gabriel
Campos Martínez, Hernando Martin
Fuentes, Alfonso
Auccahuasi, Aly
author2_role author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Ovalle Paulino, Denis Christian
Rojas Romero, Karin Corina
Auccahuasi, Wilver
Meza, Sandra
Cordova-Buiza, Franklin
Cosme, Miryam
Aiquipa, Gabriel
Campos Martínez, Hernando Martin
Fuentes, Alfonso
Auccahuasi, Aly
dc.subject.es_PE.fl_str_mv Artificial neural networks
Employee selection
Teachers
topic Artificial neural networks
Employee selection
Teachers
https://purl.org/pe-repo/ocde/ford#1.02.01
dc.subject.ocde.es_PE.fl_str_mv https://purl.org/pe-repo/ocde/ford#1.02.01
description Conferencia de la International Conference on Machine Learning and Data Engineering
publishDate 2023
dc.date.accessioned.none.fl_str_mv 2023-10-17T20:17:45Z
dc.date.available.none.fl_str_mv 2023-10-17T20:17:45Z
dc.date.issued.fl_str_mv 2023
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dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12867/7730
dc.identifier.journal.es_PE.fl_str_mv Procedia Computer Science
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1016/j.procs.2023.01.092
identifier_str_mv 1877-0509
Procedia Computer Science
url https://hdl.handle.net/20.500.12867/7730
https://doi.org/10.1016/j.procs.2023.01.092
dc.language.iso.es_PE.fl_str_mv eng
language eng
dc.relation.ispartofseries.none.fl_str_mv Procedia Computer Science;vol. 218
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dc.publisher.es_PE.fl_str_mv Elsevier
dc.publisher.country.es_PE.fl_str_mv NL
dc.source.es_PE.fl_str_mv Repositorio Institucional - UTP
Universidad Tecnológica del Perú
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spelling Ovalle Paulino, Denis ChristianRojas Romero, Karin CorinaAuccahuasi, WilverMeza, SandraCordova-Buiza, FranklinCosme, MiryamAiquipa, GabrielCampos Martínez, Hernando MartinFuentes, AlfonsoAuccahuasi, Aly2023-10-17T20:17:45Z2023-10-17T20:17:45Z20231877-0509https://hdl.handle.net/20.500.12867/7730Procedia Computer Sciencehttps://doi.org/10.1016/j.procs.2023.01.092Conferencia de la International Conference on Machine Learning and Data EngineeringThe information and communications technologies are revolutionizing the classic ways of carrying out the processes, in particular, for the teacher selection processes we have the classic form of evaluation, according to the criteria of each educational institution, in the present work it is presented a teacher selection model, using neural networks, using 3 criteria and 23 characteristics, which are entered into individual networks for each criterion and additionally a network for the final classification, is presented based on a prototype, an application developed with the computational tool Matlab, which is described in detail for its application and scaling, for purposes of measuring the performance of the network, evaluations were carried out with a group of 30 candidates, grouped into two groups, a group of 15 candidates with positive conditions complying with the policies of the educational institution and a second group with candidates who do not meet the policies of the educational institution, with which sensitivity values ​​of 93% and a specificity level of 86% were obtained, we conclude that the model presented can be replicated and conditioned to the needs and policies of each educational institution.Campus Lima Centroapplication/pdfengElsevierNLProcedia Computer Science;vol. 218info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-nd/4.0/Repositorio Institucional - UTPUniversidad Tecnológica del Perúreponame:UTP-Institucionalinstname:Universidad Tecnológica del Perúinstacron:UTPArtificial neural networksEmployee selectionTeachershttps://purl.org/pe-repo/ocde/ford#1.02.01Application of neural networks in the teacher selection processinfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionORIGINALC.Ovalle_K.Rojas_Conference_Paper_2023.pdfC.Ovalle_K.Rojas_Conference_Paper_2023.pdfapplication/pdf929477http://repositorio.utp.edu.pe/bitstream/20.500.12867/7730/3/C.Ovalle_K.Rojas_Conference_Paper_2023.pdf8335ffdba2f95f82b32ddbb01e7cbbadMD53TEXTC.Ovalle_K.Rojas_Conference_Paper_2023.pdf.txtC.Ovalle_K.Rojas_Conference_Paper_2023.pdf.txtExtracted texttext/plain56853http://repositorio.utp.edu.pe/bitstream/20.500.12867/7730/4/C.Ovalle_K.Rojas_Conference_Paper_2023.pdf.txtdaf5ac0b85896b521874e963ebffb354MD54THUMBNAILC.Ovalle_K.Rojas_Conference_Paper_2023.pdf.jpgC.Ovalle_K.Rojas_Conference_Paper_2023.pdf.jpgGenerated Thumbnailimage/jpeg19229http://repositorio.utp.edu.pe/bitstream/20.500.12867/7730/5/C.Ovalle_K.Rojas_Conference_Paper_2023.pdf.jpg7d82ba5ec723072c7626d5f5d2ede6d0MD55LICENSElicense.txtlicense.txttext/plain; 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Application of neural networks in the teacher selection process
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